ArticleSensors (Basel, Switzerland)2019
A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.Annals of medicine · 2023Pooled it
- Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- The Use of Three-Dimensional Images and Food Descriptions from a Smartphone Device Is Feasible and Accurate for Dietary Assessment.Nutrients · 2024Trial
- Multimedia Data-Based Mobile Applications for Dietary Assessment.Journal of diabetes science and technology · 2023Review
- Research on the correlation between three-dimensional morphology and temperature changes in potato slices during drying.Current research in food science · 2023Article
- A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.Sensors (Basel, Switzerland) · 2022Article
- Application of Machine Vision System in Food Detection.Frontiers in nutrition · 2022Review
- A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment.Healthcare (Basel, Switzerland) · 2021Review
- An automatic electronic instrument for accurate measurements of food volume and density.Public health nutrition · 2021Article
- Three-dimensional morphological changes of potato slices during the drying process.Current research in food science · 2021Article
- High-Accuracy 3-D Sensor for Rivet Inspection Using Fringe Projection Profilometry with Texture Constraint.Sensors (Basel, Switzerland) · 2020Article
- DietSensor: Automatic Dietary Intake Measurement Using Mobile 3D Scanning Sensor for Diabetic Patients.Sensors (Basel, Switzerland) · 2020Article
- Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.Nutrients · 2020Review
- Volumetric Food Quantification Using Computer Vision on a Depth-Sensing Smartphone: Preclinical Study.JMIR mHealth and uHealth · 2020Article
- Estimating Dining Plate Size From an Egocentric Image Sequence Without a Fiducial Marker.Frontiers in nutrition · 2020Review
- Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement.Sensors (Basel, Switzerland) · 2019Article
- Portable System for Box Volume Measurement Based on Line-Structured Light Vision and Deep Learning.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
. Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindered by the low accuracy of traditional dietary intake estimation methods used for portion size assessment. This paper presents the development and validation of a novel instrumentation system for measuring accurate dietary intake for diabetic patients. This instrument uses a mobile Structured Light System (SLS), which measures the food volume and portion size of a patient's diet in daily living conditions. The SLS allows for the accurate determination of the volume and portion size of a scanned food item. Once the volume of a food item is calculated, the nutritional content of the item can be estimated using existing nutritional databases. The system design includes a volume estimation algorithm and a hardware add-on that consists of a laser module and a diffraction lens. The experimental results demonstrate an improvement of around 40% in the accuracy of the volume or portion size measurement when compared to manual calculation. The limitations and shortcomings of the system are discussed in this manuscript.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.